fig = go.Figure(data = go.Sankey(
node =dict(pad=15, thickness=20,line = dict(color = "black", width = 0.5),
label = ["Level 1 volume","CSF"," Diencephalon_L", "Diencephalon_R","Mesencephalon", "Metencephalon","Myelencephalon","Telencephalon_L","Telencephalon_R","total_volume","Level 2 volume","Level 3 volume", "Level 4 volume", "Level 5 volume"],
color = "purple"
),
link = dict(
source = [0,0,0,0,0,0,0,0,9,9,10,10,10,10,10,10,10,10,11,11,11,11,11,11,11,11,12,12,12,12,12,12,12,12,13,13,13,13,13,13,13,13,9,9,9],
target = [1,2,3,4,5,6,7,8,0,10,1,2,3,4,5,6,7,8,1,2,3,4,5,6,7,8,1,2,3,4,5,6,7,8,1,2,3,4,5,6,7,8,11,12,13],
value = [l1_rois['volume'][0], l1_rois['volume'][1], l1_rois['volume'][2],l1_rois['volume'][3],l1_rois['volume'][4],l1_rois['volume'][5],l1_rois['volume'][6],l1_rois['volume'][7],l1_volume,l2_volume,l2_rois['volume'][0], l2_rois['volume'][1], l2_rois['volume'][2],l2_rois['volume'][3],l2_rois['volume'][4],l2_rois['volume'][5],l2_rois['volume'][6],l2_rois['volume'][7],l3_rois['volume'][0], l3_rois['volume'][1], l3_rois['volume'][2],l3_rois['volume'][3],l3_rois['volume'][4],l3_rois['volume'][5],l3_rois['volume'][6],l3_rois['volume'][7],l4_rois['volume'][0], l4_rois['volume'][1], l4_rois['volume'][2],l4_rois['volume'][3],l4_rois['volume'][4],l4_rois['volume'][5],l4_rois['volume'][6],l4_rois['volume'][7],l5_rois['volume'][0], l5_rois['volume'][1], l5_rois['volume'][2],l5_rois['volume'][3],l5_rois['volume'][4],l5_rois['volume'][5],l5_rois['volume'][6],l5_rois['volume'][7],l3_volume,l4_volume,l5_volume])))
fig.show()